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As enterprises push AI beyond the data center, the gap between a successful pilot and a production deployment at scale...
Getting AI models into production at the edge is hard. Building them, packaging them, and deploying them reliably across hundreds...
What does it actually take to deploy AI in hazardous, legacy-heavy industrial environments — where a bad decision doesn’t just...
For decades, industrial field operations have run on instinct, experience, and scheduled maintenance windows. Equipment runs until it doesn’t. Data...
Cloud computing, with its virtually unlimited set of resources, leads people to expect a lot from AI. In a big...
ZEDEDA CEO and founder Said Ouissal introduces ZEDEDA Edge Intelligence Platform, designed to help enterprises build, deploy and secure AI...
A panel of edge AI experts join ZEDEDA’s Chief Product Officer Padraig Stapleton to discuss the state of edge AI...
PV Hardware’s AI-powered solar tracking software, DeepTrack, helps maximize energy production across large-scale solar farms worldwide. By partnering with ZEDEDA,...
Despite record global AI spending of $2.5 trillion in 2026, most edge AI projects stall in the pilot phase. Organizations...
Most Edge AI projects don’t fail in the lab. They fail in the field. Intermittent connectivity, harsh physical environments, and...
A Technical Deep-Dive into Distributed AI at the Edge Introduction There is a profound architectural parallel hiding in plain sight...